Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training Scheme.
Fahimeh MohagheghianDong HanOm GhetiaAndrew PeitzschNishat NishitaMahdi Pirayesh Shirazi NejadEric Y. DingKamran NoorishiraziAlexander HamelEdith Mensah OtabilDanielle DiMezzaEmily L. DicksonKhanh-Van TranDavid D. McManusKi H. ChonPublished in: IEEE Trans. Biomed. Eng. (2024)
Keyphrases
- noise reduction
- denoising
- denoising algorithm
- noise removal
- noisy environments
- white noise
- restricted boltzmann machine
- edge preserving
- signal to noise ratio
- edge preservation
- denoising methods
- noise level
- edge detection
- wiener filter
- soft thresholding
- bilateral filter
- speckle noise
- image denoising
- median filter
- nonlinear diffusion
- noise detection
- noisy images
- edge preserving smoothing
- multiplicative noise
- natural images
- deep learning
- noise free
- single channel
- edge enhancement
- wavelet domain
- total variation
- signal processing
- image processing
- speech enhancement
- vector median filter
- hearing aids
- filtering method
- impulse noise
- multiscale